Missing Data Imputation on eICU Simulation (n=5000, p=40, Blockwise Missing)
0.06RMSEGCMI
Evaluation results
| Method | Links | |
|---|---|---|
| GCMIMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.06 | |
| MissForestMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.062 | |
| Multiple ImputationMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.065 | |
| GCMIMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.07 | |
| SoftMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.072 | |
| MI-KNNMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.073 | |
| Multiple ImputationMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.073 | |
| MissForestMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.073 | |
| GAINMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.076 | |
| SoftMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.079 | |
| MI-KNNMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.08 | |
| GCMIMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.081 | |
| GAINMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.082 | |
| Multiple ImputationMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.083 | |
| MissForestMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.083 | |
| MI-KNNMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.088 | |
| SoftMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.09 | |
| Mean ImputationMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.097 | |
| Mean ImputationMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.097 | |
| Mean ImputationMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.097 | |
| Soft MaskMissing Rate=0.1, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.1 | |
| Soft MaskMissing Rate=0.3, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.112 | |
| GAINMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.112 | |
| Soft MaskMissing Rate=0.5, n=5000, p=40, Missingness Mechanism=MAR, Missingness Pattern=Blockwise2026.01 | 0.113 |